Optimization of Gain, Impedance, and Bandwidth of Yagi‐Uda Array Using Particle Swarm Optimization | Zendy

Munish Rattan | Zendy; Manjeet Singh Patterh | Zendy; B.S. Sohi | Zendy

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Optimization of Gain, Impedance, and Bandwidth of Yagi‐Uda Array Using Particle Swarm Optimization

Author(s) -

Munish Rattan,

Manjeet Singh Patterh,

B.S. Sohi

Publication year - 2008

Publication title -

international journal of antennas and propagation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.282

H-Index - 37

eISSN - 1687-5877

pISSN - 1687-5869

DOI - 10.1155/2008/193242

Subject(s) - particle swarm optimization , bandwidth (computing) , genetic algorithm , electrical impedance , computer science , multi swarm optimization , electromagnetics , electronic engineering , mathematical optimization , engineering , algorithm , mathematics , electrical engineering , telecommunications

Particle swarm optimization (PSO) is a new, high-performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics. It is a global optimization technique-like genetic algorithm (GA) but has less computational cost compared to GA. In this paper, PSO has been used to optimize the gain, impedance, and bandwidth of Yagi-Uda array. To evaluate the performance of designs, a method of moments code NEC2 has been used. The results are comparable to those obtained using GA

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